计算机分析加快了波纹喇叭设计

当波纹喇叭天线的张角、轴长和直径给出后,利用写成BASIC语言的计算机程序可以很快地预知天线辐射方向图。     

GPS高动态接收机跟踪的演示结果

本文给出了高动态GPS接收机的演示实验结果。被试接收机是一台实验板设备,它能在伪距离及其变化率上跟踪一颗卫星的仿真信号。接收机每20ms做一次伪距离及其变化率的近似最大似然估计,利用一个时间常数为0.14秒的三阶滤波器跟踪这些观测量。由于不跟踪载波相位,这就避免了锁相环在高动态下的失锁问题。当接收机处于仿真的50g转弯,加加速度峰值达40g/s时,其伪距跟踪滞后误差小于0.06m。在载波功率与噪声谱密度比为34dB-Hz时,仅由噪声造成的伪距离误差为0.6m(均方根)。接收机信噪比跟踪门限为28dB-Hz,相对于最小卫星信号强度指标,0dBi天线增益,3.5dB系统噪声系数条件下的40dB-Hz信噪比,该门限有12dB的余量。     

航空发动机2 级风扇的数值研究

运用ANSYS CFX 11.0和home-code程序对AI222发动机风扇流路气动参数进行了3维CFD(Computational Fluid Dynamics)计算;通过3维建模,实现了风扇主要积分特性和局部参数计算。通过与风扇进行大量试验结果的对比,验证了计算结果,并找出了产生差别的原因,得到了风扇总特性以及气流径向参数的计算值与试验值的吻合度。结果表明:通过运用3维建模计算方法简化了风扇设计过程,缩短了风扇从设计到试验的时间,降低了航空发动机部件的设计成本。     

A Theoretic Interpretation of Movement of the Cusp Equatorward Boundary

A preliminary model is proposed to describe quantitatively the position and movement of cusp equatorward boundary. This integrated model, consisting of an empirical model of the magnetopause and a compressed dipolar model of Open/Closed field line, connects quantitatively the solar wind conditions, subsolar magnetopause and cusp equatorward boundary. It is shown that the increasing solar wind dynamic pressure and the increasing southward Interplanetary Magnetic Field (IMF) component drive the magnetopause to move inward and the cusp equatorward. This model is adopted to interpret quantitatively the cusp movement of August 14, 2001 observed by Cluster. The results show that the subsolar magnetopause moved earthward from 10.7 He to 9.0 Re during the period of 002300-002800 UT, and correspondingly the cusp equatorward boundary shifted equatorward. The observations of Cluster C1 and C4 show the cusp equatorward boundary that Cluster Cl and C4 were crossing during same interval moved equatorward by 4.6°. The cusp equatorward boundary velocity computed in the theoretical model (10.7km/s) is in good agreement with the observed value (9.4km/s) calculated from the data of CIS of Cluster C4 and C1.     

基于眼动、位姿及场景视频的人体运动方向预测方法

外骨骼机器人作为新提出的改善、提高人类生活能力的智能设备,同样需要高效智能的人机交互系统,而人机交互的第一步,则是精准预测人的行为意图。从外骨骼机器人的顶层控制角度出发,介绍了人体运动意图识别和外骨骼机器人智能交互能力的研究现状,并对人体运动方向识别进行了研究。提出了一种结合眼动信息、位姿信息及场景视频信息的多信息融合的人体运动意图识别网络架构,并进行了采集设备的穿戴实验。利用实验数据,对提出的网络方法进行了实验验证。结果表明:所提出的人体运动方向的识别系统,可以预测出人体运动过程中的运动方向。